Science advances at a rapid pace, and supporting technologies and infrastructures have to adapt accordingly. One of the latest evolutions in technology is the shift from traditional software and hardware tools to newer cloud-based services. In this blog, Thermo Fisher Scientific's Karen Velardi looks at, we look at the different cloud services that are changing the way modern research is done.Read More
In the second of a two-part blog series, we talk with Genestack CEO Misha Kapushesky on the developments in Bioinformatics that he’s most excited about, and the latest modular additions to Genestack's bioinformatics platform.Read More
In the first of a two-part blog series, we discuss the advantages of a modular approach to bioinformatics with Dr. Misha Kapushesky, CEO and Founder of Genestack. Perviously a Team Leader at the European Bioinformatics Institute, we also learn about Misha's move from Institute to industry.Read More
To learn more about ContextVision, their move into the field of digital pathology, and how INIFY™ could help benefit pathologists and patients, we spoke to Lena Kajland Wilén, Director Business Unit Digital Pathology.Read More
The Defense Advanced Research Projects Agency’s (DARPA) Synergistic Discovery and Design Program (SD2) hopes to update protocols with enhanced automation and machine learning strategies. As part of SD2, Ginkgo Bioworks, and Transcriptic have been offered a dual contract to help advance biological experimentation and iterative testing for synthetic biology. In this blog, we discuss the goals of SD2 and the impact of automation on research with Ben Miles, PhD, Head of Product at Transcriptic.Read More
During this year’s AACR conference we spoke to Kang Zhang, M.D., Ph.D. from the University of California, San Diego about the collaborative work he has been doing with the Laboratory for Advanced Medicine. He discusses their recent study findings on the use of a blood-based method to look at cell-free DNA as a marker for liver cancer diagnosis and prognosis.Read More
Digital transformation, often described as the next industrial revolution, has already begun to permanently change almost every aspect of our lives.
Science, of course, is no exception. Digital transformation is poised to fundamentally change how scientists conduct research and how laboratories operate. But, what is the current state of digitalization within today’s labs, and how can they ensure they are ready for digital transformation?
As the research landscape changes, the standards of data integrity that guide research must also change. New data tools, systems and formats provide pitfalls and opportunities for advancing the cause of data integrity. In this blog, we discuss integrity in modern research with John Sadler, Vice President and General Manager of Agilent’s Software & Informatics Division.Read More
Genomic Profiling in Cancer: Matching Patients to Precision Trials, Guiding Patients to the Right TreatmentBlog
We recently spoke to Gaurav Singal, Vice President of Data Strategy and Product Development at Foundation Medicine, to learn more about how their SmartTrialsTM technology platform has enabled patients to be rapidly matched to precision trials, based on their unique tumor biomarkers.Read More
To learn more about the impact AI has already had on diagnostics and health services, as well as some of its future capabilities, we spoke to Chris Scarisbrick.Read More